Based on mass production, cost saving and other commercial ideas, the temperature detection module in solar water heaters usually use inexpensive temperature sensors with low sensitivity and accuracy, the design in the hardware conditions are not ideal conditions, in order to make the temperature detection error to meet the design requirements, the design needs temperature detection range of -10 to 100, the temperature detection error range required to control ± 1, now the Multiple temperature detection methods are compared and studied to come up with a temperature detection method with high stability and low error to meet the design requirements. In this paper, the three methods of fitting, interpolation and table look-up method are compared and analyzed under the condition that the hardware accuracy is not high, and MATLAB software is used to conduct simulation experiments to verify whether the error meets the design requirements, and data are collected in reality to verify whether the accuracy meets the error requirements. The experimental results show that the look-up table method is based on the schematic diagram to get the relationship between the ADC sampling value and the temperature value, with the advantage that environmental errors can be ignored, etc., can better meet the requirements of the accuracy of the solar water heater temperature measurement error, and the performance is more stable and reliable.
Published in | International Journal of Mechanical Engineering and Applications (Volume 10, Issue 6) |
DOI | 10.11648/j.ijmea.20221006.14 |
Page(s) | 160-165 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Temperature Detection, Error, Interpolation, Table Look-up Method
[1] | Shenzhen Minjie Electronic Technology Co. Ltd.; Researchers Submit Patent Application, "Heat Radiation-Resistant Ntc Temperature Sensors and Applications Thereof", for Approval (USPTO 20200049572) [J]. Electronics Newsweekly, 2020. |
[2] | Azhari, Marbun Hertika, Karolina Rahmi, Hakim Lukman. Design of room capacity measurement and body temperature detection based on atmega328 microcontroller [J]. Journal of Physics: Conference Series, 2022, 2193 (1). |
[3] | Shi Yaoguang, Lü Xiaozhou, Xiang Qingpei, Li Jing, Shao Xiaojun, Bao Weimin. Stretchable thermoelectric generator for wearable power source and temperature detection applications [J]. Energy Conversion and Management, 2022, 253. |
[4] | Husam Ali Abdulmohsin, Hala Bahjat Abdul Wahab, Abdul Mohssen Jaber Abdul Hossen. A Novel Classification Method with Cubic Spline Interpolation [J]. Intelligent Automation & Soft Computing, 2022, 31 (1). |
[5] | Aràndiga Francesc, Baeza Antonio, Yáñez Dionisio F.. Monotone cubic spline interpolation for functions with a strong gradient [J]. Applied Numerical Mathematics, 2022, 172. |
[6] | Hao Wu, Rui Deng, Song Linghu, Ruixiang Yang, Jinhai Zhang, Juan Cao. Data processing method of noise logging based on cubic spline interpolation [J]. Applied Mathematics and Nonlinear Sciences, 2021, 6 (1). |
[7] | Suresh Karthik, Servinsky Laura, Johnston Laura, Punjabi Naresh M, Dudek Steven M, Damarla Mahendra. Comparison of polynomial fitting versus single time point analysis of ECIS data for barrier assessment. [J]. Physiological reports, 2021, 9 (19). |
[8] | Huo Jiaxin, Yang Xin. Research on Quasi-geoid Fitting Method Based on EGM2008 Model and Quadratic Polynomial Fitting Function [J]. Journal of Physics: Conference Series, 2021, 2035 (1). |
[9] | Magu Georgiana, Lucaciu Radu, Isar Alexandru. Improving the Targets’ Trajectories Estimated by an Automotive RADAR Sensor Using Polynomial Fitting [J]. Applied Sciences, 2021, 11 (1). |
[10] | Xiguang Dong, Yongqiang He. CRC algorithm for embedded system based on table lookup method [J]. Microprocessors and Microsystems, 2020, 74. |
[11] | Chen Siyuan, Han Yanhua, Li Jinjian, Li Changxu, Liu Yi, Li Yan. Ultra-simple fiber sensor with ultra-low strain cross-sensitivity for embedded temperature detection [J]. Optik, 2022, 270. |
[12] | Tang Jiahong, Wang Hao, Wang Xiaoxia, Xie Changsheng, Zeng Dawen. Prussian blue-derived hollow cubic α-Fe2O3 for highly sensitive room temperature detection of H2S [J]. Sensors and Actuators: B. Chemical, 2022, 351. |
[13] | Lin Mengzhuan, Zheng Zhongjie, Yang Li, Luo Mingshan, Fu Lihua, Lin Baofeng, Xu Chuanhui. A High-Performance, Sensitive, Wearable Multifunctional Sensor Based on Rubber/CNT for Human Motion and Skin Temperature Detection. [J]. Advanced materials (Deerfield Beach, Fla.), 2021, 34 (1). |
[14] | Luo Huayu, Pang Gaoyang, Xu Kaichen, Ye Zhiqiu, Yang Huayong, Yang Geng. A Fully Printed Flexible Sensor Sheet for Simultaneous Proximity–Pressure–Temperature Detection [J]. Advanced Materials Technologies, 2021, 6 (11). |
APA Style
Wenliang Zhu, Tianyi Huang. (2022). Study of Solar Water Heater Temperature Detection Method. International Journal of Mechanical Engineering and Applications, 10(6), 160-165. https://doi.org/10.11648/j.ijmea.20221006.14
ACS Style
Wenliang Zhu; Tianyi Huang. Study of Solar Water Heater Temperature Detection Method. Int. J. Mech. Eng. Appl. 2022, 10(6), 160-165. doi: 10.11648/j.ijmea.20221006.14
@article{10.11648/j.ijmea.20221006.14, author = {Wenliang Zhu and Tianyi Huang}, title = {Study of Solar Water Heater Temperature Detection Method}, journal = {International Journal of Mechanical Engineering and Applications}, volume = {10}, number = {6}, pages = {160-165}, doi = {10.11648/j.ijmea.20221006.14}, url = {https://doi.org/10.11648/j.ijmea.20221006.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20221006.14}, abstract = {Based on mass production, cost saving and other commercial ideas, the temperature detection module in solar water heaters usually use inexpensive temperature sensors with low sensitivity and accuracy, the design in the hardware conditions are not ideal conditions, in order to make the temperature detection error to meet the design requirements, the design needs temperature detection range of -10 to 100, the temperature detection error range required to control ± 1, now the Multiple temperature detection methods are compared and studied to come up with a temperature detection method with high stability and low error to meet the design requirements. In this paper, the three methods of fitting, interpolation and table look-up method are compared and analyzed under the condition that the hardware accuracy is not high, and MATLAB software is used to conduct simulation experiments to verify whether the error meets the design requirements, and data are collected in reality to verify whether the accuracy meets the error requirements. The experimental results show that the look-up table method is based on the schematic diagram to get the relationship between the ADC sampling value and the temperature value, with the advantage that environmental errors can be ignored, etc., can better meet the requirements of the accuracy of the solar water heater temperature measurement error, and the performance is more stable and reliable.}, year = {2022} }
TY - JOUR T1 - Study of Solar Water Heater Temperature Detection Method AU - Wenliang Zhu AU - Tianyi Huang Y1 - 2022/11/30 PY - 2022 N1 - https://doi.org/10.11648/j.ijmea.20221006.14 DO - 10.11648/j.ijmea.20221006.14 T2 - International Journal of Mechanical Engineering and Applications JF - International Journal of Mechanical Engineering and Applications JO - International Journal of Mechanical Engineering and Applications SP - 160 EP - 165 PB - Science Publishing Group SN - 2330-0248 UR - https://doi.org/10.11648/j.ijmea.20221006.14 AB - Based on mass production, cost saving and other commercial ideas, the temperature detection module in solar water heaters usually use inexpensive temperature sensors with low sensitivity and accuracy, the design in the hardware conditions are not ideal conditions, in order to make the temperature detection error to meet the design requirements, the design needs temperature detection range of -10 to 100, the temperature detection error range required to control ± 1, now the Multiple temperature detection methods are compared and studied to come up with a temperature detection method with high stability and low error to meet the design requirements. In this paper, the three methods of fitting, interpolation and table look-up method are compared and analyzed under the condition that the hardware accuracy is not high, and MATLAB software is used to conduct simulation experiments to verify whether the error meets the design requirements, and data are collected in reality to verify whether the accuracy meets the error requirements. The experimental results show that the look-up table method is based on the schematic diagram to get the relationship between the ADC sampling value and the temperature value, with the advantage that environmental errors can be ignored, etc., can better meet the requirements of the accuracy of the solar water heater temperature measurement error, and the performance is more stable and reliable. VL - 10 IS - 6 ER -